AI

Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge

Hugging Face's blog features a case study on using Large Language Models (LLMs) as judges in a Risk Assessment and Governance (RAG) application. The RAG app is designed to assess the risk of a company's projects, and the LLM-as-a-Judge approach aims to improve its accuracy by providing expert support. According to the case study, this approach allowed for more precise risk assessments and improved decision-making processes. However, it does not provide details on how the mode
Hugging Face's blog features a case study on using Large Language Models (LLMs) as judges in a Risk Assessment and Governance (RAG) application. The RAG app is designed to assess the risk of a company's projects, and the LLM-as-a-Judge approach aims to improve its accuracy by providing expert support. According to the case study, this approach allowed for more precise risk assessments and improved decision-making processes. However, it does not provide details on how the model was trained or validated. --- Why it matters: This matters because it demonstrates a practical application of LLMs in a real-world setting, showcasing their potential to improve decision-making processes in complex domains like project risk assessment. Source: https://huggingface.co/blog/digital-green-llm-judge

This article was originally published at: https://huggingface.co/blog/digital-green-llm-judge